Effects of cognitive behavioral therapy on sleep disturbances and quality of life among adults with type 2 diabetes mellitus: A randomized controlled trial

Efficacy of a Personalized Mobile Health Intervention (BedTime) to Increase Sleep Duration Among Short-Sleeping Patients With Type 2 Diabetes: Protocol for a Pilot Randomized Controlled Trial

BACKGROUND

A strong association exists between sleep duration and glycemic control in patients with type 2 diabetes (T2D), yet convincing evidence of a causal link remains lacking. Improving sleep is increasingly emphasized in clinical T2D treatment guidance, highlighting the need for effective, scalable sleep interventions that can affordably serve large populations through mobile health (mHealth).

OBJECTIVE

This study aims to pilot an intervention that extends sleep duration by modifying bedtime behavior, assessing its efficacy among short-sleeping (≤6 hours per night) patients with T2D, and establishing robust evidence that extending sleep improves glycemic control.

METHODS

This randomized, single-blinded, multicenter study targets 70 patients with T2D from 9 institutions in Japan over a 12-week intervention period. The sleep extension intervention, BedTime, is developed using the Theory of Planned Behavior (TPB) and focuses on TPB's constructs of perceived and actual behavioral control (ABC). The pilot intervention combines wearable actigraphy devices with SMS text messaging managed by human operators. Both the intervention and control groups will use an actigraphy device to record bedtime, sleep duration, and step count, while time in bed (TIB) will be assessed via sleep diaries. In addition, the intervention group will receive weekly bedtime goals, daily feedback on their bedtime performance relative to those goals, identify personal barriers to an earlier bedtime, and select strategies to overcome these barriers. The 12-week intervention period will be followed by a 12-week observational period to assess the sustainability of the intervention's effects. The primary outcome is the between-group difference in the change in hemoglobin A1c (HbA1c) at 12 weeks. Secondary outcomes include other health measures, sleep metrics (bedtime, TIB, sleep duration, total sleep time, and sleep quality), behavioral changes, and assessments of the intervention's usability. The trial commenced on February 8, 2024, and is expected to conclude in February 2025.

RESULTS

Patient recruitment ended on August 29, 2024, with 70 participants enrolled. The intervention period concluded on December 6, 2024, and the observation period ended on February 26, 2025, with 70 participants completing the observation period. The data analysis is currently underway, and results are expected to be published in July 2025.

CONCLUSIONS

This trial will provide important evidence on the causal link between increased sleep duration and improved glycemic control in short-sleeping patients with T2D. It will also evaluate the efficacy of our bedtime behavior change intervention in extending sleep duration, initially piloted with human operators, with the goal of future implementation via an mHealth smartphone app. If proven effective, this intervention could be a key step toward integrating sleep-focused mHealth into the standard treatment for patients with T2D in Japan.

TRIAL REGISTRATION

Japan Registry of Clinical Trials jRCT1030230650; https://jrct.niph.go.jp/latest-detail/jRCT1030230650.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/64023.

The effect of non-pharmacological sleep interventions on glycaemic measures in adults with sleep disturbances and behaviours: A systematic review and meta-analysis

BACKGROUND

Sleep insufficiency is known to negatively impact on glucose metabolism. Consequently, there is interest in determining the impact of improving sleep on glucose metabolism. We conducted a meta-analysis of studies that aimed at improving sleep using cognitive behavioural therapy for insomnia (CBT-I) and/or sleep hygiene or sleep extension on glucose metabolism.

METHODS

Searches were performed on MEDLINE, EMBASE, CINAHL and Cochrane. We included studies featuring adults≥18years, a sleep intervention and glycaemic measurements. The pooled mean differences were calculated by the inverse variance method.

RESULTS

24 studies (15 CBT-I and/or sleep hygiene; 9 sleep extension) were included. Meta-analysis of 12 studies (n = 2,044) of CBT-I and/or sleep hygiene demonstrated a significant reduction in HbA1c of 0.27% (95% CI 0.07, 0.47, I2 74%, p = 0.008) compared to control. In T2DM (n = 1,911; 9 studies), HbA1c level decrease was 0.43% (0.19, 0.67, I2 59%, p = 0.0004). There were no significant changes in fasting blood glucose analyses nor in any sleep extension intervention. For quality assessment, only 9 studies had low concern.

CONCLUSIONS

Using CBT-I and/or sleep hygiene interventions led to significant reductions in HbA1c levels, which were clinically meaningful in T2DM. Addressing sleep insufficiency should be an integral part of diabetes care.

REGISTRATION

PROSPERO Identification number: CRD42022376606.

Effect of psychological intervention on glycemic control in middle-aged and elderly patients with type 2 diabetes mellitus: A systematic review and meta-analysis

AIM

There is an ongoing debate regarding the influence of psychological interventions on glycemic control in middle-aged and elderly patients diagnosed with type 2 diabetes. To establish evidence-based medical support for the therapeutic application of these interventions, this meta-analysis seeks to assess the impact of psychological interventions on glycemic control in middle-aged and elderly individuals with type 2 diabetes.

METHODS

This study systematically searched six electronic databases for randomized controlled studies of psychological interventions applied to middle-aged and elderly patients with type 2 diabetes, and the search time frames were all from the time of database creation to the search period from the establishment to March 2023. Two evaluators independently screened the literature evaluated the included studies' risk of bias, and carried out a meta-analysis using the RevMan5.4 program.

RESULTS

A total of 7 studies with 728 participants complied with the eligibility criteria. Meta-analysis showed that glycated glucagon was reduced in the psychological intervention group compared to the control group (MD = -0.26, 95 %CI:-0.51,-0.01,p = 0.01) with a statistically significant difference (p < 0.05). and their sensitivity analyses all showed stable and credible results.

CONCLUSIONS

This review concludes that psychological interventions, when applied to middle-aged and elderly individuals with type 2 diabetes, proved to be more effective in reducing HbA1c levels compared to standard care. Nevertheless, further evidence-based research is essential to elucidate the specific types of psychological interventions that contribute to improved glycemic control outcomes in middle-aged and older adults with type 2 diabetes.

Behavioral Sleep Interventions and Cardiovascular Risk Factors: Systematic Review and Meta-analysis of Randomized Controlled Trials

BACKGROUND/OBJECTIVES

Chronic sleep disturbance has been consistently associated with cardiovascular disease. We sought to determine whether behavioral interventions to improve sleep have been associated with improvements in 4 common cardiovascular disease risk factors: hypertension, diabetes mellitus (DM), obesity, and smoking.

METHODS

Randomized controlled trials evaluating the prospective effect of behavioral sleep interventions on ( a ) blood pressure in participants with hypertension/prehypertension, ( b ) glycemic control in participants with DM/pre-DM, ( c ) anthropometrics in participants who were overweight/obese, and ( d ) smoking status in smokers were eligible. Where feasible, we undertook random-effects meta-analyses of standardized mean differences in cardiovascular disease risk factor change.

RESULTS

Overall, 3 trials met the inclusion criteria for blood pressure, 4 for glycemic control, 9 for overweight/obesity, and 2 for smoking. On meta-analysis, interventions with sleep as the sole behavioral target were associated with a significant reduction in hemoglobin A 1c % (-0.84; 95% confidence interval [CI], -1.34 to -0.34), but not a significant reduction in systolic blood pressure (-0.18; 95% CI, -0.55 to 0.20) versus controls. In addition, any interventions with sleep as a behavioral target were associated with significant reductions in hemoglobin A 1c % (-0.71; 95% CI, -1.01 to -0.42) and weight (-0.78; 95% CI, -1.11 to -0.45), but not systolic blood pressure (-0.72; 95% CI, -1.82 to 0.37). Trials evaluating smoking status were not amenable to meta-analysis.

CONCLUSION

Behavioral interventions to improve sleep were associated with improved glycemic control in patients with DM. It is also possible that these interventions improve weight in individuals who were overweight/obese. A low number of trials and small sample sizes indicate that further large, well-designed randomized controlled trials of interventions are warranted.

The effect of cognitive behavioral therapy for insomnia on sleep and glycemic outcomes in people with type 2 diabetes: A randomized controlled trial

STUDY OBJECTIVES

Investigate whether aiding sleep by online cognitive behavioral therapy for insomnia (CBT-I) can improve glycemic and metabolic control, mood, quality of life (QoL) and insomnia symptoms in people with type 2 diabetes and assess the mediating role of lifestyle factors.

METHODS

Adults with type 2 diabetes and insomnia symptoms were randomly assigned to CBT-I or care as usual. At baseline, three and six months we assessed HbA1c as primary outcome and glycemic control, metabolic outcomes, sleep, mood and QoL as secondary outcomes. Mixed models were used to determine within-person and between-persons differences in outcomes and mediation analysis for lifestyle factors.

RESULTS

We randomized 29 participants to CBT-I and 28 to care as usual. Intention-to-treat analysis showed no significant differences in glycemic control, metabolic outcomes, anger, distress or QoL, but showed a significantly larger decrease in insomnia (-1.37(2.65: 0.09)) and depressive symptoms (-0.92(-1.77: 0.06)) and increase in BMI (0.29 kg/m2(0.00:0.57)) in the intervention compared to the control group. Only half of the intervention participants completed the CBT-I. Per protocol analysis showed a not statistically significant decrease in HbA1c (-2.10 mmol/l(-4.83:0.63)) and glucose (-0.39 mmol/l(-1.19:0.42)), metabolic outcomes and increase in QoL. Furthermore, the intervention group showed a significant decrease in insomnia (-2.22(-3.65: 0.78)) and depressive symptoms (-1.18(-2.17: 0.19)) compared to the control group. Lifestyle factors partially mediated the effect of the intervention.

CONCLUSIONS

CBT-I might improve insomnia symptoms and mood, and perhaps improves glycemic control, albeit not significant, in people with type 2 diabetes and insomnia symptoms, compared to care as usual.

Cognitive behavioural therapy for depression, quality of life, and cognitive function in the post-stroke period: systematic review and meta-analysis

The post-stroke period is associated with a lot of sequelae, including depression, decreased quality of life, and decline of cognitive function. Apart from the pharmacotherapy, it is also important to find a non-pharmacological treatment to relieve the sequelae. Cognitive behavioural therapy (CBT) might be a potential candidate, which can be clarified by a systematic review and meta-analysis. The eligible criteria of enrolled studies in the systematic review and meta-analysis were the randomised clinical trials (RCTs) using CBT to treat post-stroke depression, or with the focus on quality of life or cognitive function in the post-stroke period. The endpoint scores of depression, quality of life, and cognitive function scales were the targeted outcome for the final meta-analysis in the random effects model. Ten RCTs with 432 post-stroke patients receiving CBT and 385 controls were included. The meta-analysis results showed significant improvements in depression severity and quality of life. However, no significant difference between CBT and control groups was found in cognitive function. In addition, significant heterogeneity was derived from the meta-analysis. According to the meta-analysis results, CBT might be beneficial for relieving depression severity and improving quality of life. However, cognitive function might not be influenced by CBT. Further studies with a more consistent CBT design with greater sample sizes should be warranted to clarify and confirm the treatment effects of CBT for post-stroke depression and quality of life.

Effect of Cognitive Behavioural Therapy in Improving Sleep and Health Status in Patients with Cardiometabolic Syndrome: a Meta-Analysis

The aim of this study was to assess the effect of cognitive behavioural therapy intervention on sleep and health improvement in patients with cardiometabolic syndrome and sleep problems. This study also aimed to assess the effect of different study designs to explain the overall intervention effect through subgroup analysis. Relevant randomized controlled trial studies were searched through six online databases. The PEDro scale was used to assess the quality of the included studies. The random effects model was used to assess the mean difference, effect size, and standard deviation of the outcome variables. The heterogeneity of the included studies was assessed using I2 and Q tests. Publication bias was assessed by the Egger test. Cognitive behavioural therapy intervention provided a significant effect in improving the Pittsburgh Sleep Quality Index, Insomnia Severity Index, total sleep time, sleep efficiency, depression, fatigue, and HbA1c. The effect of cognitive behavioural therapy is more significant when relaxation training and education components are included. Cognitive behavioural therapy is suitable for the treatment of sleep problems in patients with cardiometabolic syndrome. Cognitive behavioural therapy is also effective on depression and fatigue but has a limited effect on blood pressure and biomedical indicators related to cardiometabolic syndrome.

The Effect of Cognitive Behavioral Therapy for Insomnia (CBT-I) on Cardiometabolic Health Biomarkers: A Systematic Review of Randomized Controlled Trials

OBJECTIVES

To assess the effectiveness of Cognitive Behavioral Therapy for Insomnia (CBT-I) on cardiometabolic health biomarkers.

METHOD

Cochrane CENTRAL, Embase, Medline, and PsycINFO were searched, and records were screened by two independent reviewers. Inclusion criteria were adult population, delivery of CBT-I, randomized controlled trial design, ≥1 cardiometabolic health outcome, and peer-review. Hedge's g effect sizes were calculated, and the quality of the evidence was appraised using the Cochrane Risk of Bias 2 tool.

RESULTS

After screening 1649 records, 15 studies were included (total N = 2067). Inflammatory markers (CRP, IL-6, TNF-α), blood pressure (SBP, DBP), and glycemic regulation (HbA1c) were most frequently reported (in ≥3 studies each). HbA1c and CRP were reduced in the CBT-I group compared to the control group (in 3 studies each). Effects varied or were null for IL-6, TNF-α, SBP, and DBP. Six studies were judged as low, four as moderate, and five as high risk of bias.

CONCLUSION

CBT-I was most consistently associated with improved HbA1c and CRP, which are relatively temporally stable, suggesting influences on enduring habits rather than short-term behavior changes. High risk of bias limits the interpretation of findings. Methodologically adequate studies are needed to better understand cardiometabolic effects of CBT-I.

The effect of health behavior interventions to manage Type 2 diabetes on the quality of life in low-and middle-income countries: A systematic review and meta-analysis

BACKGROUND

Behavioral interventions targeted at managing Type 2 diabetes mellitus (T2DM) may have a positive effect on quality of life (QOL). Limited reviews have synthesized this effect in low- and middle-income countries (LMICs). This review and meta-analysis synthesised available evidence on the effect of behavioral interventions to manage T2DM on the QOL of people with T2DM in LMICs.

METHODS

Electronic databases PUBMED/MEDLINE, SCOPUS, CINAHL, Embase, Web of Science and PsycINFO were searched from May to June 2022. Studies published between January 2000 and May 2022, conducted in LMICs using randomized controlled trial design, using a health behavior intervention for T2DM management, and reporting QOL outcomes were included. Difference in QOL change scores between the intervention and control group was calculated as the standardized mean difference (SMD) of QOL scores observed between the intervention and control groups. Random-effects model was used for meta-analysis.

RESULTS

Of 6122 studies identified initially, 45 studies met the inclusion criteria (n = 8336). Of them, 31 involved diabetes self-management education and 14 included dietary and/or physical activity intervention. There was moderate quality evidence from the meta-analysis of mean QOL (n = 25) that health behavior intervention improved the QOL of people with T2DM (SMD = 1.62, 95%CI = 0.65-2.60 I2 = 0.96, p = 0.001). However, no significant improvements were found for studies (n = 7) separately assessing the physical component summary (SMD = 0.76, 95%CI = -0.03-1.56 I2 = 0.94, p = 0.060) and mental component summary (SMD = 0.43, 95%CI = -0.30-1.16 I2 = 0.94, p = 0.249) scores. High heterogeneity and imprecise results across studies resulted in low to moderate quality of evidence.

CONCLUSION

The findings suggest that health behavior interventions to manage T2DM may substantially improve the QOL of individuals with T2DM over short term. However, due to low to moderate quality of evidence, further research is required to corroborate our findings. Results of this review may guide future research and have policy implications for T2DM management in LMICs.

The effect of non-pharmacological interventions on sleep quality in people with sleep disturbances: A systematic review and a meta-analysis

Sleep is the elixir of life. Both healthy populations and patients with chronic diseases experience sleep disturbances in their lifetime. Pharmacological agents to induce sleep in individuals with sleep disturbances pose side effects like tolerance and dependence, warranting the development of alternative non-pharmacological interventions with less or no adverse effects. However, deciphering comprehensive evidence on the translational potential of these alternative therapies remains difficult. In the current paper, we systematically reviewed the recent literature on the effect of non-pharmacological interventions (NPIs) on improving sleep quality in both healthy and diseased populations experiencing sleep disturbances. We searched PubMed, Science Direct, Cochrane Controlled Trials, and Web of Science databases from inception to June 2022 for randomized controlled trials and cohort studies evaluating the sleep quality of individuals. We performed a meta-analysis using the random effects model with Pittsburgh Sleep Quality Index (PSQI) as an outcome measure to evaluate the effect of five distinct NPIs on sleep quality in normal and people with different medical conditions. Subgroup analyses and sensitivity analyses were done for heterogeneity analysis and to check the consistency of results, respectively. In 16 trials reporting on 1885 subjects, that all NPIs like Resistance Training (SMD -0.29, 95% CI -0.64 to 0.05; p = 0.09); Yoga (SMD -0.48, 95% CI -0.72 to -0.25; p < 0.0001); Cognitive Behavioral Therapy (SMD -1.69, 95% CI -2.70 to -0.68; p = 0.001); Music (SMD -1.42, 95% CI -1.99 to -0.85; p < 0.00001); Light (SMD -0.43, 95% CI -0.77 to -0.09; p = 0.01) have substantially decreased the global PSQI scores. The findings of the randomized studies and a cohort study included in qualitative synthesis demonstrated that the global PSQI scores improved significantly as compared to the placebo groups. Despite the limitations of clinical heterogeneity in subjects, our results demonstrate a positive impact of the studied NPIs on sleep quality in individuals experiencing sleep disturbances. However, comprehensive double-blinded controlled trials are indispensable in the future, emphasizing the objective sleep quality and inter-individual differences in response to the intervention.

The evaluation of cognitive-behavioral therapy-based intervention on type 2 diabetes patients with comorbid metabolic syndrome: a randomized controlled trial

BACKGROUND

Cognitive behavior therapy (CBT) has been applied in intervention research in diabetes patients with satisfying results. However, there was no research on type 2 diabetes (T2DM) patients with comorbidities. This study aimed to investigate the effectiveness of CBT on psychological variables, behavior variables, quality of life, sleep quality, and physical variables among adult T2DM patients with comorbid metabolic syndrome (MS).

METHODS

281 patients aged 18-75 years were recruited from Ningbo First Hospital in China from October 2021 to March 2022. Patients were randomized to the intervention group (IG, N = 148) or control group (CG, N = 133). Patients in the IG received 12 CBT-based sessions during a six-month intervention time. Patients in the CG received the usual care only. Univariate General Linear Model was used to analyze the effect of CBT-based interventions. The analysis was conducted by SPSS Version 28.

RESULTS

Results indicated that CBT-based intervention was superior in the following aspects: relieving depression symptoms: IG (4.11 ± 4.35 vs. 1.99 ± 2.12), CG (3.40 ± 3.26 vs. 2.32 ± 1.88), interaction effect (F = 4.074, P = 0.044); enhancing diabetes self-care behaviors: IG (26.79 ± 12.18 vs. 37.49 ± 10.83), CG (25.82 ± 13.71 vs. 31.96 ± 11.72), interaction effect (F = 5.242, P = 0.022); promoting the efficacy of CBT: IG (47.45 ± 6.83 vs. 50.76 ± 4.98), CG (46.74 ± 6.94 vs. 47.87 ± 5.11), interaction effect (F = 5.198, P = 0.023); improving subjective sleep quality: IG (0.93 ± 0.68 vs. 0.69 ± 0.63), CG (1.03 ± 0.72 vs. 1.01 ± 0.68), interaction effect (F = 3.927, P = 0.048).

CONCLUSIONS

The CBT-based intervention was beneficial in improving depression symptoms, diabetes self-care behaviors, the efficacy of CBT, and sleep quality in T2DM patients with comorbid MS. The downtrend of body mass index, systolic blood pressure, diastolic pressure, and glycated hemoglobin was larger in the intervention group but not to a significant level.

TRIAL REGISTRATION

This study has been prospectively registered at Australia New Zealand Clinical Trials Registry (Registration ID: ACTRN12621001348842 website: https://www.anzctr.org.au/trial/MyTrial.aspx ).

Sleep disorders in chronic pain and its neurochemical mechanisms: a narrative review

Chronic pain (CP) is a prevalent problem, and more than half of patients with CP have sleep disorders. CP comorbidity with sleep disorders imposes immense suffering and seriously affects the patient's quality of life, which is a challenging issue encountered by clinicians. Although the reciprocal interactions between pain and sleep have been studied to some degree, there is still a lack of awareness and comprehensive description of CP comorbidity with sleep disorders. In this narrative review article, we summarize the current knowledge about the present estimates of the prevalence of comorbid sleep disorders in CP patients, sleep detection methods, sleep characterization in CP, and the effect of sleep disorders on CP and current therapies. We also summarize current knowledge of the neurochemical mechanisms of CP comorbidity with sleep disorders. In conclusion, insufficient attention has been paid to the role of sleep disorders in CP patients, and CP patients should be screened for sleep disorders in the clinic. Special attention should be given to a possible risk of drug-drug interaction when using two types of drugs targeting pain and sleep simultaneously. The current insight into the neurobiological mechanisms underlying CP comorbidity with sleep disorders is still rather limited.

The short- and long-term effects of cognitive behavioral therapy on the glycemic control of diabetic patients: a systematic review and meta-analysis

BACKGROUND

Glycemic control is an important issue in the treatment of diabetic patients. However, traditional methods, such as medication (the usual treatment), have limitations. Cognitive behavioral therapy (CBT) might be a useful option to help control the glycemic condition. The effects can be revealed by systemic review or meta-analysis of randomized clinical trials (RCT).

METHODS

A systematic search and a meta-analysis for the RCT were done of the short- and long-term effects of CBT on the glycemic control of diabetic patients in a comparison with the usual treatment. Nineteen RCT studies and 3,885 diabetic patients were enrolled in this meta-analysis. Subgroup analyses of types 1 and 2 diabetes and individual and group CBT were also performed.

RESULTS

Patients treated with CBT showed no significant difference in HbA1c when compared to the usual treatment within six months. However, CBT was more effective in reducing HbA1c when compared to usual treatment with at least six months of treatment duration [standardized mean difference: -0.44 (95% confidence interval (CI): -0.63 ~ -0.25), Z = 4.49]. Subgroup analysis of type 1 and 2 diabetic patients supported a long-term effect of CBT on glycemic control [standardized mean difference: -0.85 (95% CI: -1.19 ~ -0.10), Z = 2.23, standardized mean difference: -0.33 (95% CI:-0.47 ~ -0.19), Z = 4.52, respectively].

CONCLUSIONS

CBT would be a useful option for improving the glycemic control of diabetic patients undergoing long-term treatment. The advantages of the long-term effects of CBT should be considered by clinicians and staff.

A comparison of physical activity, muscle strength, and sleep between people with type 2 diabetes in Kuwait and the UK: A cross-sectional study

Background

The aim of the current study was to determine the prevalence of low muscle strength and to evaluate physical activity and sleep characteristics in people with type 2 diabetes in Kuwait. Additionally, equivalent data from the UK Biobank cohort were compared.

Methods

People with type 2 diabetes from the UK Biobank (n = 23,570) and Kuwaiti cohorts (n = 3,135) were included in this cross-sectional study. Self-reported sleep, physical activity, and muscle strength were compared between the cohorts, using linear and logistic regression, with adjustments for age, sex, and duration of diabetes.

Results

Physical activity levels (-937 (-1,097, -851) Met-min/week: standardized B-coefficient -0.42 (-0.47, -0.37)) and grip strength (3.2 (-3.58, -2.82) kg: standardized B-coefficient (-0.29 (-0.32, -0.26)) were lower in the Kuwaiti cohort, and the odds of having short sleep (OR 1.32 (1.19,1.46), being classed as inactive (OR 8.70 (7.59, 9.98), and having muscle weakness (OR 1.88 (1.69, 2.09) were higher. These analyses were adjusted for age, sex, and duration of diabetes.

Conclusions

The aim of the current study was to determine the prevalence of low muscle strength and to evaluate physical activity and sleep characteristics in people with type 2 diabetes in Kuwait. Additionally, equivalent data from the UK Biobank cohort were compared.

Type 2 diabetes

Type 2 diabetes accounts for nearly 90% of the approximately 537 million cases of diabetes worldwide. The number affected is increasing rapidly with alarming trends in children and young adults (up to age 40 years). Early detection and proactive management are crucial for prevention and mitigation of microvascular and macrovascular complications and mortality burden. Access to novel therapies improves person-centred outcomes beyond glycaemic control. Precision medicine, including multiomics and pharmacogenomics, hold promise to enhance understanding of disease heterogeneity, leading to targeted therapies. Technology might improve outcomes, but its potential is yet to be realised. Despite advances, substantial barriers to changing the course of the epidemic remain. This Seminar offers a clinically focused review of the recent developments in type 2 diabetes care including controversies and future directions.

The efficacy of cognitive behavioral therapy-based intervention on patients with diabetes: A meta-analysis

AIMS

This meta-analysis aims to update former meta-analyses from randomized controlled trials (RCT) focused on the efficacy of CBT for diabetes.

METHODS

Five databases were searched for RCTs. Primary outcomes were glycated hemoglobin (HbA1c), fasting blood glucose (FBS), systolic blood pressure (SBP), diastolic blood pressure (DBP), and body mass index (BMI). Secondary outcomes were depression, anxiety and distress symptoms, quality of life, sleep quality.

RESULTS

32 RCTs were included. Results revealed that CBT could reduce HbA1c: -0.14% (95% CI: -0.25 to -0.02%, P = 0.020); FBS: -15.48 mg/dl (95% CI: -30.16 to -0.81 mg/dl, P = 0.040); DBP: -2.88 mmHg (95% CI: -4.08 to -1.69 mmHg, P < 0.001); depression symptoms: -0.90 (95% CI: -1.22 to -0.57, P < 0.001); anxiety symptoms: -0.28 (95% CI: -0.50 to -0.07, P = 0.009); improve sleep quality: -0.92 (95% CI: -1.77 to -0.07, P = 0.030). Subgroup analysis indicated that CBT has siginificantly reduced HbA1c when delivered as a group-based and face-to-face method, and psycho-education, behavioral, cognitive, goal-setting, homework assignment strategies were applied as central strategies.

CONCLUSION

CBT was an effective treatment for diabetes patients, significantly reduced their HbA1c, FBS, DBP, depression and anxiety symptoms, and improved sleep quality.

The Effect of Exercise Interventions to Improve Psychosocial Aspects and Glycemic Control in Type 2 Diabetic Patients: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

BACKGROUND

Type 2 diabetes mellitus (T2DM) patients have a raised risk of developing depression compared with non-diabetic people.

OBJECTIVE

The objective of this meta-analysis was to investigate the impacts of exercise training interventions to improve psychosocial aspects and glycemic control in T2DM patients.

DATA SOURCES

PubMed, CINAHL, Medline, Google Scholar, and Scopus databases and reference lists of included studies were searched.

STUDY SELECTION

The selection criteria were randomized controlled trials (RCTs) using an exercise intervention with or without dietary advice on psychological aspects and glycemic control in T2DM patients, up to January 2021. Meta-analyses were performed using the random-effects model. The analysis included 17 RCTs with 2,127 participants.

RESULTS

In the pooled analysis, improvements were seen in depression, standard mean difference (SMD) -0.65 (95% confidence interval (CI) -1.03 to -0.28, p = 0.0006), mental health SMD: 0.53 (95% CI 0.31 to 0.76, p < 0.00001), and HbA1c, weighted mean difference (WMD) -0.51% (95% CI -0.97 to -0.04, p = 0.03). There were no significant differences between the intervention and control groups for bodily pain, social functioning, and fasting glucose (all p > 0.05).

CONCLUSION

Our systematic review and meta-analysis displayed that exercise training interventions decreased depression and HbA1c and increased mental health in individuals with T2DM. Further longer-term and high-quality clinical trials are required to additional assess and confirm the findings presented here.

Poly ethylene glycol (PEG)-Related controllable and sustainable antidiabetic drug delivery systems

Diabetes mellitus is one of the most challenging threats to global public health. To improve the therapy efficacy of antidiabetic drugs, numerous drug delivery systems have been developed. Polyethylene glycol (PEG) is a polymeric family sharing the same skeleton but with different molecular weights which is considered as a promising material for drug delivery. In the delivery of antidiabetic drugs, PEG captures much attention in the designing and preparation of sustainable and controllable release systems due to its unique features including hydrophilicity, biocompatibility and biodegradability. Due to the unique architecture, PEG molecules are also able to shelter delivery systems to decrease their immunogenicity and avoid undesirable enzymolysis. PEG has been applied in plenty of delivery systems such as micelles, vesicles, nanoparticles and hydrogels. In this review, we summarized several commonly used PEG-contained antidiabetic drug delivery systems and emphasized the advantages of stimuli-responsive function in these sustainable and controllable formations.